VP, AI Transformation

 Posted 21 hours ago
     
10+ years experience
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AI Summary

Lead the enterprise-wide AI strategy and execution to accelerate innovation and operating efficiency across all company functions. Define the AI roadmap, establish governance frameworks, and oversee the delivery of high-value AI use cases from concept to production.

Cynosure is well positioned competitively to lead and transform the medical aesthetics industry.  We are guided by our belief that this is a purpose-driven business, which improves patient’s lives and improves practitioner’s livelihoods.

 

  • We are passionate about driving a healthy and growing medical aesthetics industry with leading-edge marketing which inspires consumers to engage in medical aesthetics.
  • We are the leader in science-based technology which elevates the standard of care for consumers.
  • We are relentlessly focused on being the undisputed innovation leader, addressing the growing demand for consumer treatments across all demographics.
  • We are committed to building and strengthening our unmatched global footprint, with direct employees on five continents and in 15 countries and growing, and distributor partners serving over 130 countries.
  • We put our people first and believe personal development drives business development.
  • We love our customers and strive give them the leading-edge technology, service, marketing support and clinical education to improve their patient’s outcomes and to improve their livelihoods.

 

At Cynosure, we look for people who make an impact and encourage everyone to lead, create, and add value. In turn, we invest in our team to grow people’s careers and build upon our high-performance and culture-oriented organization. We work together as one team, winning together.

As we grow our global team, there is no better time to join us. As a market leader in medical aesthetics, Cynosure has over 25 years developing, manufacturing, and marketing products for dermatologists, plastic surgeons, medical spas, and healthcare practitioners. With the aesthetic industry’s most comprehensive product portfolio, our offerings span several categories including skin revitalization, body contouring, hair removal, and women’s health.  

Our mission is to set Cynosure customers up for success shaping future leaders of the aesthetics industry and helping everyone who uses our technologies discover their version of beautiful.

Learn more about us by following our LinkedIn and Instagram sites and please visit us at www.Cynosure.com

 

Job Summary

The VP, AI Transformation leads the enterprise-wide artificial intelligence strategy and execution for Cynosure Lutronic, defining and driving how AI is adopted across the company to accelerate innovation, improve operating efficiency, and create durable competitive advantage. Reporting to the CEO, this role owns the full AI transformation agenda—from vision and roadmap through use-case identification, solution delivery, governance, and organizational change—partnering across every function to embed AI into how the company designs products, serves customers, and runs its operations.

As a senior leader and trusted advisor to the executive team, this leader balances bold strategic vision with disciplined, hands-on execution—equally comfortable shaping a multi-year AI agenda and standing up the platforms, governance, and capabilities that turn it into measurable business outcomes. Working closely with R&D, Commercial, Operations, IT, Regulatory, Legal, and HR, the VP, AI Transformation ensures AI investments are prioritized against the highest-value opportunities, deployed responsibly and securely, and scaled across a global, regulated medical aesthetics business. This role is critical to positioning Cynosure Lutronic as an AI-enabled leader—ensuring emerging technologies translate into faster innovation, stronger customer experiences, and sustainable growth.

Essential Duties and Responsibilities

The incumbent may be asked to perform other function-related activities in addition to the below mentioned responsibilities as reasonably required by business needs.

Strategic Responsibilities:

  • Define and own the enterprise AI transformation vision, strategy, and multi-year roadmap, aligned with the company’s growth objectives and overall business priorities.
  • Identify, evaluate, and prioritize high-value AI use cases across R&D, commercial, operations, and corporate functions, building business cases that quantify impact, investment, and risk.
  • Serve as the executive thought leader on AI, educating the Board, executive team, and broader organization on emerging capabilities, opportunities, and implications for the business.
  • Establish the company’s AI governance, ethics, data, and risk framework, ensuring responsible, compliant, and secure use of AI within a regulated medical device environment.
  • Shape build-versus-buy-versus-partner decisions and manage relationships with technology vendors, platform providers, and strategic partners.
  • Define the metrics and value-realization framework used to measure adoption, ROI, and business impact of AI initiatives across the enterprise.

 

Operational Responsibilities:

  • Lead the end-to-end delivery of priority AI initiatives, from proof of concept through scaled production deployment, ensuring solutions are reliable, secure, and integrated into business workflows.
  • Stand up the foundational data, platform, and tooling infrastructure required to develop, deploy, and maintain AI solutions at scale.
  • Partner with IT, Digital, and Information Security to ensure AI systems meet data privacy, cybersecurity, and regulatory requirements.
  • Translate complex AI concepts into clear, actionable plans and communicate progress, value, and risks to stakeholders at all levels.
  • Establish standards, playbooks, and reusable assets that accelerate delivery and ensure consistency and quality across AI initiatives.
  • Continuously monitor the performance of deployed solutions, optimize models and processes, and refine or retire initiatives based on measured outcomes.

 

People and Leadership Responsibilities:

  • Build, lead, and develop a high-performing, cross-disciplinary AI team, attracting and retaining top talent in data science, machine learning, and AI engineering.
  • Drive enterprise-wide AI literacy and adoption through change management, training, and enablement programs that build capability and confidence across the workforce.
  • Partner with and influence senior leaders across all functions to align on priorities, secure resources, and embed AI into functional strategies and ways of working.
  • Foster a culture of experimentation, responsible innovation, and data-driven decision-making throughout the organization.
  • Serve as the bridge between technical teams and business stakeholders, ensuring AI solutions are grounded in real business needs and adopted in the field.

 

Qualifications

Education

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Business, or a related field required.
  • Master’s degree, MBA, or advanced degree in a related technical or business discipline preferred.

 

Experience

  • 12+ years of progressive experience in technology, data, analytics, or digital transformation, including significant leadership experience driving AI/ML or large-scale digital initiatives.
  • Proven track record defining and executing enterprise AI or digital transformation strategies that delivered measurable business impact.
  • Demonstrated experience leading the deployment of AI/ML solutions from concept through scaled production in a complex, cross-functional environment.
  • Experience establishing AI governance, data, and risk frameworks, ideally within a regulated industry such as medical devices, healthcare, or life sciences.
  • Experience building and leading high-performing technical teams and managing relationships with technology vendors and strategic partners.
  • Experience operating in a global organization and driving change across functions and geographies preferred.
  • Familiarity with the medical aesthetics, medical device, or healthcare industry preferred.

 

Skills

  • Deep understanding of AI/ML technologies, data infrastructure, and the practical realities of deploying and scaling AI in an enterprise setting.
  • Strategic thinker and hands-on operator—able to set a multi-year vision and drive tangible, measurable results.
  • Excellent communication and influencing skills; able to translate complex technical concepts for executive and non-technical audiences and align stakeholders at all levels.
  • Strong business acumen, including the ability to build business cases, quantify value, and prioritize investments.
  • Proven cross-functional leadership and change-management capability, driving alignment and adoption without direct authority over every function.
  • Sound judgment on AI ethics, governance, data privacy, and security, particularly within a regulated environment.
  • Ability to travel up to 30% (domestic and international).

 

Physical Demands

The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

  • Sit; use hands to finger, handle or feel objects, tools, or controls.
  • Stand; walk; reach with hands and arms; and stoop, kneel, crouch, or crawl.
  • Other (please specify): Travel 30% Domestic (US) and International

 

 

Cynosure is an Equal Opportunity Employer – Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Disability, Veteran

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